def _create_plot_component():
# Create a random scattering of XY pairs
x = random.uniform(0.0, 10.0, 50)
y = random.uniform(0.0, 5.0, 50)
pd = ArrayPlotData(x=x, y=y)
plot = Plot(pd, border_visible=True, overlay_border=True)
scatter = plot.plot(("x", "y"), type="scatter", color="lightblue")[0]
# Tweak some of the plot properties
plot.set(title="Scatter Inspector Demo", padding=50)
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Attach the inspector and its overlay
scatter.tools.append(ScatterInspector(scatter))
overlay = ScatterInspectorOverlay(
scatter,
hover_color="red",
hover_marker_size=6,
selection_marker_size=6,
selection_color="yellow",
selection_outline_color="purple",
selection_line_width=3,
)
scatter.overlays.append(overlay)
return plot
def _plot_default(self):
# Create a GridContainer to hold all of our plots: 2 rows, 3 columns
container = GridPlotContainer(shape=(2,3),
spacing=(10,5),
valign='top',
bgcolor='lightgray')
# Create x data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index = x)
# Plot some Bessel functions and add the plots to our container
for i in range(6):
data_name = 'y{}'.format(i)
pd.set_data(data_name, jn(i,x))
plot = Plot(pd)
plot.plot(('index', data_name),
color=COLOR_PALETTE[i],
line_width=3.0)
# Set each plot's aspect based on its position in the grid
plot.set(height=((i % 3) + 1)*50,
resizable='h')
# Add to the grid container
container.add(plot)
return container
def _create_plot_component():
# Create a random scattering of XY pairs
x = random.uniform(0.0, 10.0, 50)
y = random.uniform(0.0, 5.0, 50)
pd = ArrayPlotData(x=x, y=y)
plot = Plot(pd, border_visible=True, overlay_border=True)
scatter = plot.plot(("x", "y"), type="scatter", color="lightblue")[0]
# Tweak some of the plot properties
plot.set(title="Scatter Inspector Demo", padding=50)
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Attach the inspector and its overlay
scatter.tools.append(ScatterInspector(scatter))
overlay = ScatterInspectorOverlay(scatter,
hover_color="red",
hover_marker_size=6,
selection_marker_size=6,
selection_color="yellow",
selection_outline_color="purple",
selection_line_width=3)
scatter.overlays.append(overlay)
return plot
def _plot_default(self):
# Create data
x = linspace(-5, 15.0, 100)
y = jn(3, x)
pd = ArrayPlotData(index=x, value=y)
zoomable_plot = Plot(pd)
zoomable_plot.plot(('index', 'value'),
name='external',
color='red',
line_width=3)
# Attach tools to the plot
zoom = ZoomTool(component=zoomable_plot,
tool_mode="box",
always_on=False)
zoomable_plot.overlays.append(zoom)
zoomable_plot.tools.append(PanTool(zoomable_plot))
# Create a second inset plot, not resizable, not zoom-able
inset_plot = Plot(pd)
inset_plot.plot(('index', 'value'), color='blue')
inset_plot.set(resizable='',
bounds=[250, 150],
position=[450, 350],
border_visible=True)
# Create a container and add our plots
container = OverlayPlotContainer()
container.add(zoomable_plot)
container.add(inset_plot)
return container
def _create_plot_component():
# Create a random scattering of XY pairs
x = random.uniform(0.0, 10.0, 50)
y = random.uniform(0.0, 5.0, 50)
pd = ArrayPlotData(x = x, y = y)
plot = Plot(pd, border_visible=True, overlay_border=True)
scatter = plot.plot(("x", "y"), type="scatter", color="lightblue")[0]
# Tweak some of the plot properties
plot.set(title="Scatter Inspector Demo", padding=50)
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Attach the inspector and its overlay
inspector = ScatterInspector(scatter)
scatter.tools.append(inspector)
overlay = ScatterInspectorOverlay(scatter,
hover_color="red",
hover_marker_size=6,
selection_marker_size=6,
selection_color="yellow",
selection_outline_color="purple",
selection_line_width=3)
scatter.overlays.append(overlay)
# Optional: add a listener on inspector events:
def echo(new):
print("{} event on element {}".format(new.event_type, new.event_index))
inspector.on_trait_change(echo, "inspector_event")
return plot
def _create_plot_component():
# Create some x-y data series to plot
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index = x)
for i in range(5):
pd.set_data("y" + str(i), jn(i,x))
# Create some line plots of some of the data
plot1 = Plot(pd)
plot1.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red")
plot1.plot(("index", "y3"), name="j_3", color="blue")
# Tweak some of the plot properties
plot1.title = "Inset Plot"
plot1.padding = 50
# Attach some tools to the plot
plot1.tools.append(PanTool(plot1))
zoom = ZoomTool(component=plot1, tool_mode="box", always_on=False)
plot1.overlays.append(zoom)
# Create a second scatter plot of one of the datasets, linking its
# range to the first plot
plot2 = Plot(pd, range2d=plot1.range2d, padding=50)
plot2.plot(('index', 'y3'), type="scatter", color="blue", marker="circle")
plot2.set(resizable = "",
bounds = [250, 250],
position = [550,150],
bgcolor = "white",
border_visible = True,
unified_draw = True
)
plot2.tools.append(PanTool(plot2))
plot2.tools.append(MoveTool(plot2, drag_button="right"))
zoom = ZoomTool(component=plot2, tool_mode="box", always_on=False)
plot2.overlays.append(zoom)
# Create a container and add our plots
container = OverlayPlotContainer()
container.add(plot1)
container.add(plot2)
return container
def _create_plot_component():
# Create some x-y data series to plot
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index = x)
for i in range(5):
pd.set_data("y" + str(i), jn(i,x))
# Create some line plots of some of the data
plot1 = Plot(pd)
plot1.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red")
plot1.plot(("index", "y3"), name="j_3", color="blue")
# Tweak some of the plot properties
plot1.title = "Inset Plot"
plot1.padding = 50
# Attach some tools to the plot
plot1.tools.append(PanTool(plot1))
zoom = ZoomTool(component=plot1, tool_mode="box", always_on=False)
plot1.overlays.append(zoom)
# Create a second scatter plot of one of the datasets, linking its
# range to the first plot
plot2 = Plot(pd, range2d=plot1.range2d, padding=50)
plot2.plot(('index', 'y3'), type="scatter", color="blue", marker="circle")
plot2.set(resizable = "",
bounds = [250, 250],
position = [550,150],
bgcolor = "white",
border_visible = True,
unified_draw = True
)
plot2.tools.append(PanTool(plot2))
plot2.tools.append(MoveTool(plot2, drag_button="right"))
zoom = ZoomTool(component=plot2, tool_mode="box", always_on=False)
plot2.overlays.append(zoom)
# Create a container and add our plots
container = OverlayPlotContainer()
container.add(plot1)
container.add(plot2)
return container
def _plot_default(self):
# Create data
x = linspace(-5, 15.0, 100)
y = jn(3, x)
pd = ArrayPlotData(index=x, value=y)
zoomable_plot = Plot(pd)
zoomable_plot.plot(("index", "value"), name="external", color="red", line_width=3)
# Attach tools to the plot
zoom = ZoomTool(component=zoomable_plot, tool_mode="box", always_on=False)
zoomable_plot.overlays.append(zoom)
zoomable_plot.tools.append(PanTool(zoomable_plot))
# Create a second inset plot, not resizable, not zoom-able
inset_plot = Plot(pd)
inset_plot.plot(("index", "value"), color="blue")
inset_plot.set(resizable="", bounds=[250, 150], position=[450, 350], border_visible=True)
# Create a container and add our plots
container = OverlayPlotContainer()
container.add(zoomable_plot)
container.add(inset_plot)
return container
